Comparison between Mallat's and the ‘à trous’ discrete wavelet transform based algorithms for the fusion of multispectral and panchromatic images

González-Audícana, María; Otazu, Xavier; Fors, O.; Seco, A.

doi:10.1080/01431160512331314056

Cited by 167 publications

(84 citation statements)

References 7 publications

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“…Additive Wavelet Principal Component (AWPC) and Weighted Wavelet Intensity (WWI) methods are selected among the wavelet-based methods and Improved Generalized IHS with Adaptive Weights (IGIHS-AW) and traditional IHS among color based techniques [25][26][27][28]. The fundamental relations of the mentioned methods are summarized in Table 1.…”

Section: Resultsmentioning

confidence: 99%

“…The intensity, I, is assumed as a linear combination of MS bands with coefficients (W i ), which are firstly calculated at the spatial scale of the original MS image and a bias (δ), which is computed using a linear regression algorithm [26]. The procedure of AWPC is to transform the RGB components of the multispectral image into the PCA and adding the spatial detail of the panchromatic image to the first principal component [27]. In WWI, a weighted model is used to combine the approximation coefficients of the decomposed pan and I instead of adding details of pan directly to I or totally eliminating the detail coefficients of I (which are related to high frequency information of the image in different scales) [28].…”

Section: Resultsmentioning

confidence: 99%

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Spatial Quality Assessment of Pan-Sharpened High Resolution Satellite Imagery Based on an Automatically Estimated Edge Based Metric

2013

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Abstract:Most of the existing pan-sharpening quality assessment methods consider only the spectral quality and there are just few investigations, which concentrate on spatial characteristics. Spatial quality of pan-sharpened images is vital in elaborating the capability of object extraction, identification, or reconstruction, especially regarding man-made objects and their application for large scale mapping in urban areas. This paper presents an Edge based image Fusion Metric (EFM) for spatial quality evaluation of pan-sharpening in high resolution satellite imagery. Considering Modulation Transfer Function (MTF) as a precise measurement of edge response, MTFs of pan-sharpened images are assessed and compared to those obtained from the original multispectral or panchromatic images. Spatial quality assessment of pan-sharpening is done by comparison of MTF curves of the pan-sharpened and reference images. The capability of the proposed method is evaluated by quality assessment of two different residential and industrial urban areas of WorldView-2 pan-sharpened images. Obtained results clearly show the wide spatial discrepancy in quality of Pan-sharpened images, resulting from different fusion methods, and confirm the need for spatial quality assessment of fused products. The results also prove the capability of the proposed EFM as a powerful tool for evaluation and comparison of different image fusion techniques and products.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Spatial Quality Assessment of Pan-Sharpened High Resolution Satellite Imagery Based on an Automatically Estimated Edge Based Metric

2013

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“…The simplest method is based on the selection of the higher value coefficients, but various other methods have been proposed in the literature (Amolins et al, 2007;Chen et al, 2005;Chibani & Houacine, 2000Choi et al, 2005;Garzelli & Nencini, 2005;Ioannidou & Karathanassi, 2007;Li et al, 2005;Lillo-Saavedra et al, 2005;Pajares & de la Cruz, 2004;Shi et al, 2005;Zhou et al, 1998). The schemes used to decompose the images are based on decimated (Mallat, 1989) and undecimated algorithms (Lang et al, 1995, González-Audicana et al, 2005. In the decimated algorithm, the signal is down-sampled after each level of transformation.…”

Section: Wavelet Transform (Wt)mentioning

confidence: 99%

Image Fusion for Remote Sensing Applications

Fonseca¹,

Namikawa²,

Castejon³

et al. 2011

Image Fusion and Its Applications

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“…Multiresolution analysis based on wavelet decomposition is increasingly being used for the processing of images [13]- [16], particularly for the analysis of images in remote sensing [17], and extensively used in the field of image merging [6], [18]- [23].…”

Section: Wavelet Decompositionmentioning

confidence: 99%

A Wavelet-Based Method for the Determination of the Relative Resolution Between Remotely Sensed Images

Núñez

Fors

Otazu

et al. 2006

IEEE Trans. Geosci. Remote Sensing

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Abstract-Spatial resolution is a key parameter of all remote sensing satellites and platforms. The nominal spatial resolution of satellites is a well-known characteristic because it is directly related to the area in ground that represents a pixel in the detector. Nevertheless, in practice, the actual resolution of a specific image obtained from a satellite is difficult to know precisely because it depends on many other factors such as atmospheric conditions. However, if one has two or more images of the same region, it is possible to compare their relative resolutions. In this paper, a wavelet-decomposition-based method for the determination of the relative resolution between two remotely sensed images of the same area is proposed. The method can be applied to panchromatic, multispectral, and mixed (one panchromatic and one multispectral) images. As an example, the method was applied to compute the relative resolution between SPOT-3, Landsat-5, and Landsat-7 panchromatic and multispectral images taken under similar as well as under very different conditions. On the other hand, if the true absolute resolution of one of the images of the pair is known, the resolution of the other can be computed. Thus, in the last part of this paper, a spatial calibrator that is designed and constructed to help compute the absolute resolution of a single remotely sensed image is described, and an example of its use is presented.

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Comparison between Mallat's and the ‘à trous’ discrete wavelet transform based algorithms for the fusion of multispectral and panchromatic images

Cited by 167 publications

References 7 publications

Spatial Quality Assessment of Pan-Sharpened High Resolution Satellite Imagery Based on an Automatically Estimated Edge Based Metric

Spatial Quality Assessment of Pan-Sharpened High Resolution Satellite Imagery Based on an Automatically Estimated Edge Based Metric

Image Fusion for Remote Sensing Applications

A Wavelet-Based Method for the Determination of the Relative Resolution Between Remotely Sensed Images

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